Contribuições para a análise de sinais neuronais e biomédicos
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/jspui/handle/123456789/15354 |
Resumo: | Following the new tendency of interdisciplinarity of modern science, a new field called neuroengineering has come to light in the last decades. After 2000, scientific journals and conferences all around the world have been created on this theme. The present work comprises three different subareas related to neuroengineering and electrical engineering: neural stimulation; theoretical and computational neuroscience; and neuronal signal processing; as well as biomedical engineering. The research can be divided in three parts: (i) A new method of neuronal photostimulation was developed based on the use of caged compounds. Using the inhibitory neurotransmitter GABA caged by a ruthenium complex it was possible to block neuronal population activity using a laser pulse. The obtained results were evaluated by Wavelet analysis and tested by non-parametric statistics. (ii) A mathematical method was created to identify neuronal assemblies. Neuronal assemblies were proposed as the basis of learning by Donald Hebb remain the most accepted theory for neuronal representation of external stimuli. Using the Marcenko-Pastur law of eigenvalue distribution it was possible to detect neuronal assemblies and to compute their activity with high temporal resolution. The application of the method in real electrophysiological data revealed that neurons from the neocortex and hippocampus can be part of the same assembly, and that neurons can participate in multiple assemblies. (iii) A new method of automatic classification of heart beats was developed, which does not rely on a data base for training and is not specialized in specific pathologies. The method is based on Wavelet decomposition and normality measures of random variables. Throughout, the results presented in the three fields of knowledge represent qualification in neural and biomedical engineering |
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Santos, Vítor Lopes doshttp://lattes.cnpq.br/6484208511184541http://lattes.cnpq.br/0050402182466103Ribeiro, Sidarta Tollendal Gomeshttp://lattes.cnpq.br/0649912135067700Silva, Mauro Copelli Lopes dahttp://lattes.cnpq.br/9400915429521069Brandão, Gláucio Bezerra2014-12-17T14:55:49Z2011-12-062014-12-17T14:55:49Z2011-03-03SANTOS, Vítor Lopes dos. Contribuições para a análise de sinais neuronais e biomédicos. 2011. 48 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2011.https://repositorio.ufrn.br/jspui/handle/123456789/15354Following the new tendency of interdisciplinarity of modern science, a new field called neuroengineering has come to light in the last decades. After 2000, scientific journals and conferences all around the world have been created on this theme. The present work comprises three different subareas related to neuroengineering and electrical engineering: neural stimulation; theoretical and computational neuroscience; and neuronal signal processing; as well as biomedical engineering. The research can be divided in three parts: (i) A new method of neuronal photostimulation was developed based on the use of caged compounds. Using the inhibitory neurotransmitter GABA caged by a ruthenium complex it was possible to block neuronal population activity using a laser pulse. The obtained results were evaluated by Wavelet analysis and tested by non-parametric statistics. (ii) A mathematical method was created to identify neuronal assemblies. Neuronal assemblies were proposed as the basis of learning by Donald Hebb remain the most accepted theory for neuronal representation of external stimuli. Using the Marcenko-Pastur law of eigenvalue distribution it was possible to detect neuronal assemblies and to compute their activity with high temporal resolution. The application of the method in real electrophysiological data revealed that neurons from the neocortex and hippocampus can be part of the same assembly, and that neurons can participate in multiple assemblies. (iii) A new method of automatic classification of heart beats was developed, which does not rely on a data base for training and is not specialized in specific pathologies. The method is based on Wavelet decomposition and normality measures of random variables. Throughout, the results presented in the three fields of knowledge represent qualification in neural and biomedical engineeringFollowing the new tendency of interdisciplinarity of modern science, a new field called neuroengineering has come to light in the last decades. After 2000, scientific journals and conferences all around the world have been created on this theme. The present work comprises three different subareas related to neuroengineering and electrical engineering: neural stimulation; theoretical and computational neuroscience; and neuronal signal processing; as well as biomedical engineering. The research can be divided in three parts: (i) A new method of neuronal photostimulation was developed based on the use of caged compounds. Using the inhibitory neurotransmitter GABA caged by a ruthenium complex it was possible to block neuronal population activity using a laser pulse. The obtained results were evaluated by Wavelet analysis and tested by non-parametric statistics. (ii) A mathematical method was created to identify neuronal assemblies. Neuronal assemblies were proposed as the basis of learning by Donald Hebb remain the most accepted theory for neuronal representation of external stimuli. Using the Marcenko-Pastur law of eigenvalue distribution it was possible to detect neuronal assemblies and to compute their activity with high temporal resolution. The application of the method in real electrophysiological data revealed that neurons from the neocortex and hippocampus can be part of the same assembly, and that neurons can participate in multiple assemblies. (iii) A new method of automatic classification of heart beats was developed, which does not rely on a data base for training and is not specialized in specific pathologies. The method is based on Wavelet decomposition and normality measures of random variables. Throughout, the results presented in the three fields of knowledge represent qualification in neural and biomedical engineeringConselho Nacional de Desenvolvimento Científico e Tecnológicoapplication/pdfporUniversidade Federal do Rio Grande do NortePrograma de Pós-Graduação em Engenharia ElétricaUFRNBRAutomação e Sistemas; Engenharia de Computação; Telecomunicaçõesneuroengenharia, fotoestimulação neural, postulado de Hebb, assembleias neurais, Lei do semicírculo de Wigner, Teoria da Informação, divergência de Kullback-LeiblerCNPQ::ENGENHARIAS::ENGENHARIA ELETRICAContribuições para a análise de sinais neuronais e biomédicosinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALVitorLS_DISSERT.pdfapplication/pdf1833534https://repositorio.ufrn.br/bitstream/123456789/15354/1/VitorLS_DISSERT.pdf72ebc7d9d8be6ba8ae53eaad106afa8dMD51TEXTVitorLS_DISSERT.pdf.txtVitorLS_DISSERT.pdf.txtExtracted texttext/plain120190https://repositorio.ufrn.br/bitstream/123456789/15354/6/VitorLS_DISSERT.pdf.txt3a46b3edb73f399f741c88caa5b3f514MD56THUMBNAILVitorLS_DISSERT.pdf.jpgVitorLS_DISSERT.pdf.jpgIM Thumbnailimage/jpeg6055https://repositorio.ufrn.br/bitstream/123456789/15354/7/VitorLS_DISSERT.pdf.jpgf4d8fd97d4349b864c2ae68edda7ef28MD57123456789/153542017-11-02 09:07:51.681oai:https://repositorio.ufrn.br:123456789/15354Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2017-11-02T12:07:51Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.por.fl_str_mv |
Contribuições para a análise de sinais neuronais e biomédicos |
title |
Contribuições para a análise de sinais neuronais e biomédicos |
spellingShingle |
Contribuições para a análise de sinais neuronais e biomédicos Santos, Vítor Lopes dos neuroengenharia, fotoestimulação neural, postulado de Hebb, assembleias neurais, Lei do semicírculo de Wigner, Teoria da Informação, divergência de Kullback-Leibler CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
title_short |
Contribuições para a análise de sinais neuronais e biomédicos |
title_full |
Contribuições para a análise de sinais neuronais e biomédicos |
title_fullStr |
Contribuições para a análise de sinais neuronais e biomédicos |
title_full_unstemmed |
Contribuições para a análise de sinais neuronais e biomédicos |
title_sort |
Contribuições para a análise de sinais neuronais e biomédicos |
author |
Santos, Vítor Lopes dos |
author_facet |
Santos, Vítor Lopes dos |
author_role |
author |
dc.contributor.authorID.por.fl_str_mv |
|
dc.contributor.authorLattes.por.fl_str_mv |
http://lattes.cnpq.br/6484208511184541 |
dc.contributor.advisorID.por.fl_str_mv |
|
dc.contributor.advisorLattes.por.fl_str_mv |
http://lattes.cnpq.br/0050402182466103 |
dc.contributor.advisor-co1ID.por.fl_str_mv |
|
dc.contributor.referees1.pt_BR.fl_str_mv |
Silva, Mauro Copelli Lopes da |
dc.contributor.referees1ID.por.fl_str_mv |
|
dc.contributor.referees1Lattes.por.fl_str_mv |
http://lattes.cnpq.br/9400915429521069 |
dc.contributor.author.fl_str_mv |
Santos, Vítor Lopes dos |
dc.contributor.advisor-co1.fl_str_mv |
Ribeiro, Sidarta Tollendal Gomes |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/0649912135067700 |
dc.contributor.advisor1.fl_str_mv |
Brandão, Gláucio Bezerra |
contributor_str_mv |
Ribeiro, Sidarta Tollendal Gomes Brandão, Gláucio Bezerra |
dc.subject.por.fl_str_mv |
neuroengenharia, fotoestimulação neural, postulado de Hebb, assembleias neurais, Lei do semicírculo de Wigner, Teoria da Informação, divergência de Kullback-Leibler |
topic |
neuroengenharia, fotoestimulação neural, postulado de Hebb, assembleias neurais, Lei do semicírculo de Wigner, Teoria da Informação, divergência de Kullback-Leibler CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
dc.subject.cnpq.fl_str_mv |
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
description |
Following the new tendency of interdisciplinarity of modern science, a new field called neuroengineering has come to light in the last decades. After 2000, scientific journals and conferences all around the world have been created on this theme. The present work comprises three different subareas related to neuroengineering and electrical engineering: neural stimulation; theoretical and computational neuroscience; and neuronal signal processing; as well as biomedical engineering. The research can be divided in three parts: (i) A new method of neuronal photostimulation was developed based on the use of caged compounds. Using the inhibitory neurotransmitter GABA caged by a ruthenium complex it was possible to block neuronal population activity using a laser pulse. The obtained results were evaluated by Wavelet analysis and tested by non-parametric statistics. (ii) A mathematical method was created to identify neuronal assemblies. Neuronal assemblies were proposed as the basis of learning by Donald Hebb remain the most accepted theory for neuronal representation of external stimuli. Using the Marcenko-Pastur law of eigenvalue distribution it was possible to detect neuronal assemblies and to compute their activity with high temporal resolution. The application of the method in real electrophysiological data revealed that neurons from the neocortex and hippocampus can be part of the same assembly, and that neurons can participate in multiple assemblies. (iii) A new method of automatic classification of heart beats was developed, which does not rely on a data base for training and is not specialized in specific pathologies. The method is based on Wavelet decomposition and normality measures of random variables. Throughout, the results presented in the three fields of knowledge represent qualification in neural and biomedical engineering |
publishDate |
2011 |
dc.date.available.fl_str_mv |
2011-12-06 2014-12-17T14:55:49Z |
dc.date.issued.fl_str_mv |
2011-03-03 |
dc.date.accessioned.fl_str_mv |
2014-12-17T14:55:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SANTOS, Vítor Lopes dos. Contribuições para a análise de sinais neuronais e biomédicos. 2011. 48 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2011. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/jspui/handle/123456789/15354 |
identifier_str_mv |
SANTOS, Vítor Lopes dos. Contribuições para a análise de sinais neuronais e biomédicos. 2011. 48 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2011. |
url |
https://repositorio.ufrn.br/jspui/handle/123456789/15354 |
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por |
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por |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Universidade Federal do Rio Grande do Norte |
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Programa de Pós-Graduação em Engenharia Elétrica |
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UFRN |
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BR |
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Automação e Sistemas; Engenharia de Computação; Telecomunicações |
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Universidade Federal do Rio Grande do Norte |
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